OBO Foundry dashboard analysis¶

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/tmp/ipykernel_388/4293058459.py:21: FutureWarning:

The `inplace` parameter in pandas.Categorical.reorder_categories is deprecated and will be removed in a future version. Reordering categories will always return a new Categorical object.

Ontologies by number of axioms

Ontologies by number of classes

Ontologies by how many ontologies use it

Different serialisations used

RDF/XML Syntax    2
unknown           1
Name: syntax, dtype: int64

Breakdown of used Axiom Types

count mean std min 25% 50% 75% max
AnnotationAssertion 2 453.000000 782.887604 0.0 1.0 2.0 679.5 1357.0
Declaration 2 139.000000 239.025103 0.0 1.0 2.0 208.5 415.0
EquivalentClasses 2 11.666667 19.347696 0.0 0.5 1.0 17.5 34.0
AsymmetricObjectProperty 1 0.666667 1.154701 0.0 0.0 0.0 1.0 2.0
DataPropertyDomain 1 0.666667 1.154701 0.0 0.0 0.0 1.0 2.0
DataPropertyRange 1 0.666667 1.154701 0.0 0.0 0.0 1.0 2.0
DisjointClasses 1 0.333333 0.577350 0.0 0.0 0.0 0.5 1.0
ObjectPropertyDomain 1 0.666667 1.154701 0.0 0.0 0.0 1.0 2.0
ObjectPropertyRange 1 0.666667 1.154701 0.0 0.0 0.0 1.0 2.0
SubClassOf 1 137.666667 238.445661 0.0 0.0 0.0 206.5 413.0
SubObjectPropertyOf 1 1.666667 2.886751 0.0 0.0 0.0 2.5 5.0

Breakdown of used OWL Class Expression constructs

count mean std min 25% 50% 75% max
Class 2 456.666667 788.373220 0.0 1.5 3.0 685.0 1367.0
ObjectSomeValuesFrom 2 77.333333 133.080176 0.0 0.5 1.0 116.0 231.0
ObjectAllValuesFrom 1 6.666667 11.547005 0.0 0.0 0.0 10.0 20.0
ObjectComplementOf 1 3.000000 5.196152 0.0 0.0 0.0 4.5 9.0
ObjectExactCardinality 1 0.333333 0.577350 0.0 0.0 0.0 0.5 1.0
ObjectIntersectionOf 1 29.666667 51.384174 0.0 0.0 0.0 44.5 89.0
ObjectMinCardinality 1 0.666667 1.154701 0.0 0.0 0.0 1.0 2.0
ObjectUnionOf 1 4.333333 7.505553 0.0 0.0 0.0 6.5 13.0

OBO Score (Experimental)

ontology score score_dash score_impact
1 omrse 0.335 0.838 0.0
2 tmp 0.113 0.282 0.0
0 apollo-sv 0.000 0.000 0.0

OBO Score Summary

count mean std min 25% 50% 75% max
score 3.0 0.149333 0.17043 0.0 0.0565 0.113 0.224 0.335
score_dash 3.0 0.373333 0.42640 0.0 0.1410 0.282 0.560 0.838
score_impact 3.0 0.000000 0.00000 0.0 0.0000 0.000 0.000 0.000

OBO dependency graph